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Masters Degrees (Mainframe)

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This course has been designed to meet the industrial demand for the training and education of both existing and future engineers in the advanced concepts of sustainable electrical power and energy generation. Read more
This course has been designed to meet the industrial demand for the training and education of both existing and future engineers in the advanced concepts of sustainable electrical power and energy generation.

Who is it for?

This course is suitable for both practicing engineers and those considering a career in engineering.

The course has been designed to provide an in-depth insight into the technical workings, management and economics of the electrical power industry.

Objectives

This programme has been designed to meet the industrial demand for the training and education of both existing and future engineers in the advanced concepts of sustainable electrical power and energy generation. The aims are to produce graduates of a high calibre with the right skills and knowledge who will be capable of leading teams involved in the operation, control, design, regulation and management of power systems and networks of the future.

The programme aims to:
-Provide you with the ability to critically evaluate methodologies, analytical procedures and research methods.
-Provide an advanced education in electrical power engineering.
-Give you the education, knowledge and the skills you need to make sound decisions in a rapidly changing electricity supply industry.
-Provide a sound understanding of the principles and techniques of electrical power engineering.
-Give a broad knowledge of the issues and problems faced by electrical power engineers.
-Give a solid working knowledge of the techniques used to solve these problems.
-Provide a foundation in power systems principles for graduates with an engineering background.
-Demonstrate the practical relevance of these principles to the operation of successful enterprises in the broad field of electrical power engineering.
-Familiarise professional engineers and graduates with the theory and application of new technologies applied to power systems.

Academic facilities

Students in City's Department of Electronic and Electrical Engineering benefit from a recent lab equipment upgrade worth £130,000. This includes photovoltaic trainers, three phase synchronous machines, AC motor speed control machines, single and three phase transformers, thryistor controllers, a power systems mainframe and power systems virtual instrumentation.

The equipment is essential in training students to be highly skilled professionals in the energy industry.

The photovoltaic trainer, for instance, is a desk-top instrument which teaches the fundamental principles of photovoltaic energy. The 'photovoltaic effect' is a method of energy generation which converts solar radiation into an electrical current using semiconductors arranged into solar cells.

Teaching and learning

Modules are delivered by academics actively involved in energy related research, as well as visiting lecturers from the power industry who provide a valuable insight into the operation of energy companies.

Industry professionals give several seminars throughout the year. At least two industrial trips are organised per academic year.

Modules

The modules for this course are delivered over two semesters, with weekly lessons scheduled over two days a week. The third semester is spent completing a project that involves writing a dissertation and presenting findings. This course is organised into eight modules provided on a weekly basis.

Course content
-Introduction to Power Systems & Energy Management EPM874 (15 credits)
-Systems Modelling EPM744 (15 credits)
-Renewable Energy Fundamentals and Sustainable Energy Technologies EPM879 (15 credits)
-Transmission and Distribution Systems Management EPM875 (15 credits)
-Power Systems Design and Simulation EPM423 (15 credits)
-Power Electronics EPM501 (15 credits)
-Power Systems Protection and Grid Stability EPM990 (15 credits)
-Economics of the Power Industry EPM101 (15 credits)
-Dissertation EPM949 (60 credits)

Career prospects

Graduates are prepared for careers that encompass a variety of roles in the power industry, from technical aspects to management roles. Previously graduates have found jobs as engineers, managers and analysts in the power sector, with companies such as:
-OFGEM
-National Grid
-UK Power Networks
-EON
-EDF
-Vattenfall
-Caterpillar
-Railroad
-Graduates may also wish to further their research in the energy field by considering a PhD

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This one year MSc programme in Statistics and Computational Finance aims to train students to work as professional statisticians, not only at the interface between statistics and finance, but to provide skills applicable in sociology, health science, medical science, biology, and other scientific areas where data analysis is needed. Read more
This one year MSc programme in Statistics and Computational Finance aims to train students to work as professional statisticians, not only at the interface between statistics and finance, but to provide skills applicable in sociology, health science, medical science, biology, and other scientific areas where data analysis is needed.

The emphasis of the programme is on data analysis. It equips students with contemporary statistical ideas and methodologies as well as advanced knowledge, which will make students very competitive to industry, academic and governmental institutions. There are excellent career prospects for employment in industry and the public sector for our graduates. An MSc degree in Statistics and Computational Finance provides attractive employment opportunities in financial industries, government, consultancy companies, research centres, and other industries where data analysis is needed. Students with an interest in academic work may also decide to continue on a PhD programme in Statistics or a related field, for which the MSc in Statistics and Computational Finance provides a sound foundation.

Career opportunities

There are excellent career prospects for students with a background in statistics and data analysis. The programme is designed to equip students with contemporary statistical ideas and methodologies which makes our students very competitive when seeking employment in industry and governmental institutions, as well as in academic careers. The skills taught are applicable in sociology, health science, medical science, biology and other related disciplines where data analysis is needed.

Recent destinations of graduates from the MSc in Statistics and Computational Finance have included:
-PhD in the Department of Mathematics at the University of York (Non-parametric modelling in high dimensional data analysis)
-PhD at Florida State University
-Modelling Analyst (automotive data provider)
-Graduate Technical Analyst (HSBC)
-Research and Development in a Property and Casualty Insurance company, specialising in catastrophe insurance
-Mainframe Software Solution Sales in a major IT brand
-Data Analyst in a health data company
-Trainee Chartered Accountant

Programme structure

To achieve an MSc degree students must complete modules to the value of 180 credits, including 100 credits of core taught modules, 20 credits chosen among the optional taught modules, and a 60-credit dissertation.

Students who successfully complete 60 credits of taught modules may be eligible for the award of a Postgraduate Certificate.

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